Data entry supervisor to data analyst
A data entry supervisor already meets 28% of what the data analyst role asks for. The move turns on 26 required skills not yet in the profile.
79.3/ 100
1 How much of what a data analyst is expected to do is already part of a data entry supervisor’s work. Directional: the figure for the reverse move differs, because moving into a speciality is not the same problem as moving out of one. 2 Every skill the data analyst role is recorded as needing, required and optional together. What these numbers mean.
Why this move works
A data analyst role treats 10 of its required skills as things a data entry supervisor already does. You would walk in with these on day one.
- data models
- documentation types
- establish data processes
- implement data quality processes
- information confidentiality
- manage data
What stands in the way is 26 required skills the profile does not yet cover. Table 3 groups them; Table 4 says which to take first.
Table 2 · What you already bring
Of the 19 skills that carry over, these are the ones fewest other occupations ask for. A data analyst role needs them, and most people applying for one will not have them already. This is the part of a data entry supervisor background worth leading with.
- already held documentation types social sciences, journalism and information
- already held normalise data working with computers
- already held implement data quality processes working with computers
- already held perform data cleansing working with computers
- already held establish data processes working with computers
- already held manage data collection systems information skills
All 19 carried skills, including the 10 the data analyst role treats as required.
Table 3 · What you may need to learn
The 48 missing skills fall into 11 areas of the ESCO skill hierarchy, numbered in the order worth working in. Areas carrying the most required skills come first, and inside each one the required skills sit above the optional ones. Nothing here is a verdict on you: it is a list of what this particular job asks for that your current one does not.
- still to learn data mining required
- still to learn information extraction required
- still to learn information structure required
- still to learn unstructured data required
- still to learn data engineering required
- still to learn data science required
- still to learn data visualisation software required
- optional, not held Hadoop optional
- optional, not held cloud technologies optional
- optional, not held information architecture optional
- optional, not held online analytical processing optional
- optional, not held image recognition optional
- optional, not held web analytics optional
- still to learn analyse big data required
- still to learn apply statistical analysis techniques required
- still to learn collect ICT data required
- still to learn execute analytical mathematical calculations required
- still to learn handle data samples required
- still to learn interpret current data required
- optional, not held create data models optional
- optional, not held gather data for forensic purposes optional
- optional, not held manage cloud data and storage optional
- optional, not held make data-driven decisions optional
- optional, not held report analysis results optional
- still to learn digital data processing required
- still to learn integrate ICT data required
- still to learn perform data mining required
- still to learn use data processing techniques required
- still to learn use databases required
- optional, not held manage quantitative data optional
- optional, not held store digital data and systems optional
- optional, not held use spreadsheets software optional
- still to learn business analytics required
- still to learn statistics required
- optional, not held statistical modeling techniques optional
- optional, not held game theory optional
- still to learn data quality assessment required
- still to learn business intelligence required
- optional, not held marketing analytics optional
- still to learn visual presentation techniques required
- still to learn data ethics required
5 further areas in the appendix
Table 4 · Where to start
The 3 entries a data analyst role is least likely to hire without. The ordering is computed from the skill data, not from what pays.
Each entry opens a course search for that skill. Career Overlap earns nothing from these links.
Appendix · The rest of the record
All 19 skills that carry over
- already held data models knowledge
- already held documentation types knowledge
- already held establish data processes skill
- already held implement data quality processes skill
- already held information confidentiality knowledge
- already held manage data skill
- already held normalise data skill
- already held perform data cleansing skill
- already held query languages knowledge
- already held resource description framework query language knowledge
- already held LDAP knowledge
- already held LINQ knowledge
- already held MDX knowledge
- already held N1QL knowledge
- already held SPARQL knowledge
- already held XQuery knowledge
- already held data storage knowledge
- already held database knowledge
- already held manage data collection systems skill
The 5 learning areas not shown above
- still to learn information categorisation required
- optional, not held social network analysis optional
- still to learn define data quality criteria required
- optional, not held multidisciplinary research optional
- optional, not held research design optional
- optional, not held deliver visual presentation of data optional
- optional, not held healthcare analytics optional
22 supplementary skills, helpful but not required
- optional, not held Hadoop optional
- optional, not held cloud technologies optional
- optional, not held create data models optional
- optional, not held gather data for forensic purposes optional
- optional, not held healthcare analytics optional
- optional, not held information architecture optional
- optional, not held manage cloud data and storage optional
- optional, not held online analytical processing optional
- optional, not held statistical modeling techniques optional
- optional, not held deliver visual presentation of data optional
- optional, not held game theory optional
- optional, not held image recognition optional
- optional, not held make data-driven decisions optional
- optional, not held manage quantitative data optional
- optional, not held marketing analytics optional
- optional, not held multidisciplinary research optional
- optional, not held report analysis results optional
- optional, not held research design optional
- optional, not held social network analysis optional
- optional, not held store digital data and systems optional
- optional, not held use spreadsheets software optional
- optional, not held web analytics optional
23 held skills the data analyst role does not ask for
- not needed by the target role ABBYY FineReader knowledge
- not needed by the target role OmniPage knowledge
- not needed by the target role apply information security policies skill
- not needed by the target role apply organisational techniques skill
- not needed by the target role coach employees skill
- not needed by the target role company policies knowledge
- not needed by the target role develop working procedures skill
- not needed by the target role discharge employees skill
- not needed by the target role estimate duration of work skill
- not needed by the target role evaluate employees skill
- not needed by the target role gather feedback from employees skill
- not needed by the target role implement data warehousing techniques skill
- not needed by the target role introduce new employees skill
- not needed by the target role maintain data entry requirements skill
- not needed by the target role manage ICT data classification skill
- not needed by the target role manage employee complaints skill
- not needed by the target role manage schedule of tasks skill
- not needed by the target role motivate employees skill
- not needed by the target role optical character recognition software knowledge
- not needed by the target role process data skill
- not needed by the target role recruit employees skill
- not needed by the target role supervise data entry skill
- not needed by the target role supervise work skill
27 gaps that are knowledge rather than practice
Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.
- still to learn business analytics required
- still to learn data mining required
- still to learn data quality assessment required
- still to learn information categorisation required
- still to learn information extraction required
- still to learn information structure required
- still to learn unstructured data required
- still to learn visual presentation techniques required
- still to learn business intelligence required
- still to learn data engineering required
- still to learn data ethics required
- still to learn data science required
- still to learn data visualisation software required
- still to learn statistics required
- optional, not held Hadoop optional
- optional, not held cloud technologies optional
- optional, not held healthcare analytics optional
- optional, not held information architecture optional
- optional, not held online analytical processing optional
- optional, not held statistical modeling techniques optional
- optional, not held game theory optional
- optional, not held image recognition optional
- optional, not held marketing analytics optional
- optional, not held multidisciplinary research optional
- optional, not held research design optional
- optional, not held social network analysis optional
- optional, not held web analytics optional
Common questions about this move
Can a data entry supervisor become a data analyst?
Yes, and it is a career change move. A data entry supervisor already covers 28% of what a data analyst is expected to do: 19 skills carry over, 10 of which the data analyst role treats as required.
What skills does a data entry supervisor need to become a data analyst?
26 required skills are missing, plus 22 optional ones. They fall into 11 areas of the ESCO skill hierarchy, led by information and communication technologies (icts). The single most important is business analytics.
How hard is the move from data entry supervisor to data analyst?
Its learning distance is 79.3 out of 100, which is the career change band. That accounts for both how much is missing and how specialised those skills are.
How this record was compiled
Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.